Resilient Cities
Our team develops applied research in the broad field of Resilient Cities in three main domains: sustainable material systems, sustainable multimodal transports and energy efficiency.
The domain of sustainable material systems addresses performance-based multi-criteria material selection for the implementation of circularity in construction towards carbon neutral regenerative cities. We develop research related to the multivariate and multidimensional complex process for prioritizing building materials and construction assemblies. By integrating a diverse set of parameters, we seek to attain balance between conflicting specification criteria. A circular approach directly related to architectural design scenarios is adopted, especially in what concerns the functional programme, climate, environmental impact and end of life in the search for reusable, flexible and adaptable responses. Additionally, we are also prepared to include in this analysis cultural heritage requirements and preservation. Multi-criteria decision support methods, coupled with advanced digital design and simulation tools, allow to increase the variability of analysis.
Sustainable multimodal transports domain aims to deliver computational systems and evaluation tools to citizens, cities and their urban multimodal transport operators. To fulfil this aim, our team adopts computational modelling and analysis approaches creating data-driven indicators based on Machine Learning.
In the energy efficiency domain, we adopt data-driven machine learning techniques targeting two areas of application: (1) characterization and prediction of the profile of energy consumption patterns of citizens in their homes, as well as of institutions, to better inform behavioural change; and (2) we automatically classify energy performance and energy efficient retrofitting scenarios of the existing and new building stock.